A5014859866- Cell Image Analysis Techniques
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Medical Image Segmentation Techniques
- Neural dynamics and brain function
- AI in cancer detection
- Advanced MRI Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- EEG and Brain-Computer Interfaces
- Image Processing Techniques and Applications
- Image Retrieval and Classification Techniques
- Radiomics and Machine Learning in Medical Imaging
- Robotics and Sensor-Based Localization
- Advanced Vision and Imaging
- Scientific Computing and Data Management
- Brain Tumor Detection and Classification
- Advanced Neural Network Applications
- Biomedical Text Mining and Ontologies
- Image and Signal Denoising Methods
- Digital Imaging for Blood Diseases
- Spectroscopy Techniques in Biomedical and Chemical Research
- Generative Adversarial Networks and Image Synthesis
- Face and Expression Recognition
- Image and Video Stabilization
- Single-cell and spatial transcriptomics
Forschungszentrum Jülich
2013-2024
Heinrich Heine University Düsseldorf
2022-2024
Ernst Ruska Centre
2021-2024
Düsseldorf University Hospital
2022-2023
Jülich Aachen Research Alliance
2013
University of Bonn
2009-2010
Institute of Geodesy and Geophysics
2009
University of Koblenz and Landau
2006
Reconstructing the Human Brain Reference brains have become a standard tool in human brain research. presently public domain provide spatial framework at macroscopic level. Amunts et al. (p. 1472 ) present high-resolution (20 µm) three-dimensional reconstruction of brain. The will be freely available to help with interpreting functional neuroimaging studies, fiber tract analyses, and assigning molecular gene expression data.
Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure its relationship with functional organization in brain. However, these existing limited to small numbers manually annotated samples from a single hemisphere, measured 2D histological sections. We present first whole-brain quantitative 3D laminar atlas cortex. It was derived at 20-micrometer isotropic resolution (BigBrain), using...
Functional interactions between different brain regions require connecting fiber tracts, the structural basis of human connectome. To assemble a comprehensive understanding neural network elements from microscopic to macroscopic dimensions, multimodal and multiscale approach has be envisaged. However, integration results complementary neuroimaging techniques poses particular challenge. In this paper, we describe steadily evolving technique referred as three-dimensional polarized light...
Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; first which is ‘BigBrain’. Here, we review recent methodological advances for integration BigBrain with multi-modal neuroimaging and introduce a toolbox, ’BigBrainWarp’, that combines these developments. The aim BigBrainWarp simplify workflows support adoption best practices. This accomplished simple wrapper function allows users easily map data between standard MRI spaces....
The Virtual Brain (TVB) is now available as open-source services on the cloud research platform EBRAINS (ebrains.eu). It offers software for constructing, simulating and analysing brain network models including TVB simulator; magnetic resonance imaging (MRI) processing pipelines to extract structural functional networks; combined simulation of large-scale networks with small-scale spiking automatic conversion user-specified model equations into fast code; simulation-ready patients healthy...
We present a conceptually simple framework for object instance segmentation, called Contour Proposal Network (CPN), which detects possibly overlapping objects in an image while simultaneously fitting closed contours using fixed-size representation based on Fourier Descriptors. The CPN can incorporate state-of-the-art detection architectures as backbone networks into single-stage segmentation model that be trained end-to-end. construct models with different and apply them to of cells datasets...
Model-based data analysis of whole-brain dynamics links the observed to model parameters in a network neural masses. Recently, studies focused on role regional variance parameters. Such analyses however necessarily depend properties preselected mass model. We introduce method infer from functional both representing and region- subject-specific while respecting known structure. apply human resting-state fMRI. find that underlying can be described as noisy fluctuations around single fixed...
Abstract In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration modelling at multiple scales—from molecules to the whole brain. Major are emerging intersection of neuroscience with technology computing. This science combines high-quality research, across scales, culture multidisciplinary large-scale collaboration, translation into applications. As pioneered in Europe’s Human Brain Project...
This paper presents a novel method for detecting scale invariant keypoints. It fills gap in the set of available methods, as it proposes scale-selection mechanism junction-type features. The is scale-space extension detector proposed by Förstner (1994) and uses general spiral feature model Bigün (1990) to unify different types features within same framework. By locally optimising consistency image regions with respect model, we are able detect classify structures complementary properties...
The human insular cortex supports multifunctional integration including interoceptive, sensorimotor, cognitive and social-emotional processing. Different concepts of the underlying microstructure have been proposed over more than a century. However, 3D map cytoarchitectonic segregation insula in standard reference space, that could be directly linked to neuroimaging experiments addressing different tasks, is not yet available. Here we analyzed middle posterior dorsal anterior with image...
The human frontal operculum (FOp) is a brain region that covers parts of the ventral cortex next to insula. Functional imaging studies showed activations in this tasks related language, somatosensory, and cognitive functions. While precise cytoarchitectonic areas correlate these processes have not yet been revealed, earlier receptorarchitectonic analysis resulted detailed parcellation FOp. We complemented by study sample ten postmortem brains mapped posterior FOp serial, cell-body stained...
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell methods are often tailored to specific modalities or require manual interventions specify hyper-parameters different experimental settings. Here, we present multi-modality benchmark, comprising over 1500 labeled images derived from more than 50 diverse biological experiments. The top participants developed Transformer-based deep-learning algorithm that not only exceeds existing but...
Prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty disease, increases worldwide and associates with type 2 diabetes other cardiometabolic diseases. Here we demonstrate that Sema3a is elevated in sinusoidal endothelial cells animal models for obesity, MASLD. In primary human cells, saturated acids induce expression SEMA3A, loss a single allele sufficient to reduce hepatic fat content diet-induced obese mice. We show...
Abstract A comprehensive understanding of the organizational principles in human brain requires, among other factors, well-quantifiable descriptors nerve fiber architecture. Three-dimensional polarized light imaging (3D-PLI) is a microscopic technique that enables insights into fine-grained organization myelinated fibers with high resolution. Descriptors characterizing architecture observed 3D-PLI would enable downstream analysis tasks such as multimodal correlation studies, clustering, and...
Taking microfluidics to the third dimension causes scrambling of memory effects in blood flow due out-of-plane vessel structures.
Human brain atlases provide spatial reference systems for data characterizing organization at different levels, coming from brains. Cytoarchitecture is a basic principle of the microstructural brain, as regional differences in arrangement and composition neuronal cells are indicators changes connectivity function. Automated scanning procedures observer-independent methods prerequisites to reliably identify cytoarchitectonic areas, achieve reproducible models segregation. Time becomes key...